Fintech PR
Sapiens Releases Latest Version of CoreSuite for Property & Casualty for Enhanced Performance, Security and Efficiency
Version 12.0 reflects Sapiens’ investment strategy and tech advancements to support the diverse needs of insurers across all personal and commercial lines of business
ROCHELLE PARK, N.J., Aug. 27, 2024 /PRNewswire/ — Sapiens International Corporation, (NASDAQ: SPNS) (TASE: SPNS), a leading global provider of software solutions for the insurance industry, today announced the launch of its latest version of Sapiens CoreSuite for Property & Casualty for the North American insurance market.
The new release delivers insurers a multitude of functional and performance improvements, as well as enhanced security features. V12.0 is an integral part of Sapiens Insurance Platform, a future-proof, AI-based, open and integrated platform. The release fully supports the platform’s digital persona layer and expands the robust core business capabilities. The release is available to all North American CoreSuite P&C customers.
“This latest release accelerates the pace of innovation and value delivery to our customers,” said Roni Al-Dor, Sapiens President and CEO. “We’ve improved the consistency of our data, to help insurers leap the hurdles of data migration and ensure their data is consistent and AI-ready. The value-added enhancements of the new version reflect our long-term strategy to leverage corporate investments in support of our customers.”
The new release significantly improves efficiency of billing, database storage for policy and billing, and customer synchronization implementation. The release also increases the functionality of Sapiens’ powerful formula capabilities, syncing seamlessly with Sapiens ClaimsPro for Property & Casualty, Sapiens PolicyPro, and Sapiens BillingPro. These enhancements further improve the efficiency, ease of use, and automation of the platform. Enhancements to ClaimsPro include the introduction of reporting tables to enable near real-time reporting, augmented deductible tracking capabilities, extended notes capabilities for sent or received correspondence, and enhanced Hi-Marley™ text support for when a case is re-assigned. These enhancements allow for rapid access to claims data from any reporting tool or system, and significantly improve the overall claims customer experience.
Sapiens CoreSuite for Property & Casualty is a truly integrated suite to address all North American P&C insurer needs, including policy administration, billing, and claims. The solution empowers P&C insurers to quickly adjust to market and regulatory changes, evolving customer expectations, natural catastrophes and the constant emergence of new competitors, by including automated decision, reinsurance, data & analytics and digital applications for a completely modernized landscape.
About Sapiens
Sapiens International Corporation (NASDAQ and TASE: SPNS) is a global leader in intelligent insurance software solutions. With Sapiens’ robust platform, customer-driven partnerships, and rich ecosystem, insurers are empowered to future-proof their organizations with operational excellence in a rapidly changing marketplace. We help insurers harness the power of AI and advanced automation to support core solutions for property and casualty, workers’ compensation, and life insurance, including reinsurance, financial & compliance, data & analytics, digital, and decision management. Sapiens boasts a longtime global presence, serving over 600 customers in more than 30 countries with its innovative SaaS offerings. Recognized by industry experts and selected for the Microsoft Top 100 Partner program, Sapiens is committed to partnering with our customers for their entire transformation journey and is continuously innovating to ensure their success. Visit our website at www.sapiens.com
Investor and Media Contact
Yaffa Cohen-Ifrah
Sapiens Chief Marketing Officer and Head of Investor Relations
Email: [email protected]
Forward Looking Statements
Certain matters discussed in this press release that are incorporated herein and therein by reference are forward-looking statements within the meaning of Section 27A of the Securities Act, Section 21E of the Exchange Act and the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995, that are based on our beliefs, assumptions and expectations, as well as information currently available to us. Such forward-looking statements may be identified by the use of the words “anticipate,” “believe,” “estimate,” “expect,” “may,” “will,” “plan” and similar expressions. Such statements reflect our current views with respect to future events and are subject to certain risks and uncertainties. There are important factors that could cause our actual results, levels of activity, performance or achievements to differ materially from the results, levels of activity, performance or achievements expressed or implied by the forward-looking statements, including, but not limited to: the degree of our success in our plans to leverage our global footprint to grow our sales; the degree of our success in integrating the companies that we have acquired through the implementation of our M&A growth strategy; the lengthy development cycles for our solutions, which may frustrate our ability to realize revenues and/or profits from our potential new solutions; our lengthy and complex sales cycles, which do not always result in the realization of revenues; the degree of our success in retaining our existing customers or competing effectively for greater market share; the global macroeconomic environment, including headwinds caused by inflation, relatively high interest rates, potentially unfavorable currency exchange rate movements, and uncertain economic conditions, and their impact on our revenues, profitability and cash flows; difficulties in successfully planning and managing changes in the size of our operations; the frequency of the long-term, large, complex projects that we perform that involve complex estimates of project costs and profit margins, which sometimes change mid-stream; the challenges and potential liability that heightened privacy laws and regulations pose to our business; occasional disputes with clients, which may adversely impact our results of operations and our reputation; various intellectual property issues related to our business; potential unanticipated product vulnerabilities or cybersecurity breaches of our or our customers’ systems; risks related to the insurance industry in which our clients operate; risks associated with our global sales and operations, such as changes in regulatory requirements, wide-spread viruses and epidemics like the coronavirus epidemic, and fluctuations in currency exchange rates; and risks related to our principal location in Israel and our status as a Cayman Islands company.
While we believe such forward-looking statements are based on reasonable assumptions, should one or more of the underlying assumptions prove incorrect, or these risks or uncertainties materialize, our actual results may differ materially from those expressed or implied by the forward-looking statements. Please read the risks discussed under the heading “Risk Factors” in our Annual Report on Form 20-F for the year ended December 31, 2023, to be filed in the near future, in order to review conditions that we believe could cause actual results to differ materially from those contemplated by the forward-looking statements. You should not rely upon forward-looking statements as predictions of future events. Although we believe that the expectations reflected in the forward-looking statements are reasonable, we cannot guarantee that future results, levels of activity, performance and events and circumstances reflected in the forward-looking statements will be achieved or will occur. Except as required by law, we undertake no obligation to update publicly any forward-looking statements for any reason, to conform these statements to actual results or to changes in our expectations.
Logo: http://mma.prnewswire.com/media/585787/Sapiens_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/sapiens-releases-latest-version-of-coresuite-for-property–casualty-for-enhanced-performance-security-and-efficiency-302231591.html
Fintech PR
Artificial Intelligence (AI) in Trading Market to Reach USD 35 Billion by 2030, Growing at a 10% CAGR | Valuates Reports
BANGALORE, India, Jan. 3, 2025 /PRNewswire/ — AI in Trading Market is Segmented by Type (Software, Services), by Application (Automotive, IT & Telecommunication, Transportation & Logistics, Energy & Utilities, Healthcare, Retail, Manufacturing).
The Global Artificial Intelligence in Trading Market was valued at USD 18 Billion in 2023 and is anticipated to reach USD 35 Billion by 2030, witnessing a CAGR of 10% during the forecast period 2024-2030.
Get Free Sample: https://reports.valuates.com/request/sample/QYRE-Auto-30U5674/Global_Artificial_Intelligence_in_Trading_Market
Major Factors Driving the Growth of Artificial Intelligence (AI) in Trading Market:
The Artificial Intelligence in Trading market is on a robust growth trajectory, driven by the increasing adoption of AI technologies to enhance trading performance and operational efficiency. The integration of machine learning algorithms, predictive analytics, and automated trading systems is transforming the landscape of financial trading, enabling more informed and strategic decision-making. The rising complexity and volatility of financial markets necessitate advanced AI-driven solutions that can analyze vast amounts of data, identify market trends, and execute trades with precision and speed. Additionally, the continuous advancements in AI and machine learning technologies are expanding the capabilities and applications of AI in trading, making these solutions more accessible and effective for a broader range of traders and financial institutions. The growing emphasis on data-driven trading strategies, coupled with the need for competitive advantage and risk management, propels the demand for AI-driven trading technologies. As financial markets continue to evolve and embrace digital transformation, the Artificial Intelligence in Trading market is poised to achieve significant growth, driven by innovation, investment, and the increasing reliance on technology-driven trading solutions.
Unlock Insights: View Full Report Now! https://reports.valuates.com/market-reports/QYRE-Auto-30U5674/global-artificial-intelligence-in-trading
TRENDS INFLUENCING THE GROWTH OF THE GLOBAL AI IN TRADING MARKET:
Software solutions are instrumental in driving the growth of the Artificial Intelligence in Trading market by enhancing the efficiency, accuracy, and speed of trading operations. Advanced trading software incorporates machine learning algorithms, predictive analytics, and real-time data processing capabilities, enabling traders to make informed decisions based on comprehensive market insights. These software platforms facilitate automated trading strategies, allowing for the execution of trades at optimal times without human intervention, thereby reducing latency and increasing profitability. Additionally, sophisticated risk management tools integrated into trading software help in identifying and mitigating potential risks, ensuring more stable and secure trading environments. The continuous evolution of trading software, with the integration of AI-driven features such as sentiment analysis and anomaly detection, further propels market growth by offering traders innovative tools to navigate complex financial markets. The increasing reliance on technology-driven trading solutions underscores the critical role of software in expanding the Artificial Intelligence in Trading market.
Services play a pivotal role in driving the growth of the Artificial Intelligence in Trading market by providing essential support and expertise required to implement and optimize AI-driven trading strategies. These services include consulting, system integration, data management, and ongoing technical support, which are crucial for financial institutions and traders looking to leverage AI technologies effectively. Professional services help organizations navigate the complexities of AI adoption, ensuring that AI models are accurately tailored to specific trading needs and market conditions. Additionally, managed services offer continuous monitoring and maintenance of AI systems, ensuring their optimal performance and adaptability to evolving market dynamics. Training and education services further enhance the capabilities of trading teams, equipping them with the necessary skills to utilize AI tools effectively. The comprehensive range of services provided by specialized firms enables seamless integration of AI technologies into trading operations, thereby accelerating the adoption and expansion of the Artificial Intelligence in Trading market.
Financial services are a major catalyst in the growth of the Artificial Intelligence in Trading market, as they are at the forefront of adopting AI technologies to gain a competitive edge in the financial markets. Investment banks, hedge funds, asset management firms, and proprietary trading firms increasingly utilize AI-driven trading systems to enhance their trading strategies, improve decision-making processes, and optimize portfolio management. The ability of AI to analyze vast amounts of financial data, identify market trends, and execute trades at high speeds enables financial services firms to achieve higher returns and manage risks more effectively. Additionally, the integration of AI in areas such as algorithmic trading, fraud detection, and customer service enhances operational efficiency and service quality within financial institutions. The growing recognition of AI’s potential to transform trading practices and deliver superior financial performance drives the continuous investment and expansion of AI technologies in the financial services sector, thereby propelling the growth of the Artificial Intelligence in Trading market.
The increasing demand for high-speed trading is a significant factor driving the Artificial Intelligence in Trading market. In today’s fast-paced financial markets, the ability to execute trades within milliseconds can provide a substantial competitive advantage. AI-driven trading systems are designed to process large volumes of data and execute trades at speeds that far surpass human capabilities, enabling traders to capitalize on fleeting market opportunities. The rise of high-frequency trading (HFT) strategies, which rely on rapid data analysis and automated execution, underscores the need for advanced AI technologies that can deliver the required speed and precision. The growing complexity and volatility of financial markets further amplify the demand for high-speed trading solutions, as traders seek to navigate rapid price fluctuations and capitalize on minute market movements. The continuous advancement of AI technologies to enhance trading speed and efficiency drives the expansion of the Artificial Intelligence in Trading market.
The availability and integration of vast amounts of financial data are crucial drivers of the Artificial Intelligence in Trading market. The proliferation of data sources, including market feeds, news articles, social media, and economic indicators, provides a rich foundation for AI algorithms to analyze and derive actionable insights. Effective integration of diverse data sets allows AI systems to develop more accurate predictive models and trading strategies, enhancing their ability to anticipate market movements and make informed trading decisions. Additionally, the advancement of big data technologies and data processing frameworks facilitates the seamless ingestion, storage, and analysis of large-scale financial data, enabling AI-driven trading systems to operate more efficiently and effectively. The increasing emphasis on data-driven decision-making in trading practices underscores the importance of robust data integration capabilities, thereby fueling the growth of the Artificial Intelligence in Trading market.
Effective risk management and mitigation are critical factors driving the Artificial Intelligence in Trading market. AI-driven trading systems offer advanced risk assessment and management capabilities that help traders and financial institutions identify, evaluate, and mitigate potential risks in real-time. Machine learning algorithms can analyze historical and real-time data to detect abnormal trading patterns, predict market downturns, and optimize portfolio allocations to minimize exposure to adverse market conditions. Additionally, AI technologies enable the development of sophisticated hedging strategies and automated stop-loss mechanisms, enhancing the ability to manage financial risks proactively. The ability to quickly adapt to changing market dynamics and implement risk mitigation measures is essential for maintaining financial stability and achieving sustainable trading performance. As the complexity and interconnectedness of financial markets increase, the demand for robust AI-driven risk management solutions intensifies, thereby fueling the growth of the Artificial Intelligence in Trading market.
Achieving a competitive advantage is a significant driver in the growth of the Artificial Intelligence in Trading market. Financial institutions and traders seek to leverage AI technologies to gain an edge over competitors by enhancing the speed, accuracy, and efficiency of their trading operations. AI-driven trading systems enable the development of proprietary trading strategies, optimize trade execution, and improve the ability to anticipate market movements, thereby increasing profitability and market share. The ability to process and analyze vast amounts of data in real-time allows traders to make informed decisions faster than competitors relying on traditional trading methods. Additionally, AI technologies facilitate the customization of trading strategies to align with specific investment goals and risk profiles, further differentiating traders in the competitive financial landscape. The pursuit of superior performance and the need to stay ahead in the highly competitive trading environment drive the adoption and investment in AI-driven trading solutions, thereby propelling the growth of the Artificial Intelligence in Trading market.
Claim Yours Now! https://reports.valuates.com/api/directpaytoken?rcode=QYRE-Auto-30U5674&lic=single-user
AI IN TRADING MARKET SHARE
China and the United States are two leaders in the AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both hold 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China’s core artificial intelligence industry reached ¥508 Billion in 2022, a year-on-year increase of 18%.
The Artificial Intelligence in Trading market exhibits significant regional variations, influenced by factors such as financial market maturity, technological infrastructure, and regulatory environments. North America leads the market, driven by the presence of major financial hubs like New York and Silicon Valley, advanced technological infrastructure, and a high concentration of fintech startups specializing in AI-driven trading solutions.
Key Companies:
- IBM Corporation
- Trading Technologies International, Inc
- GreenKey Technologies, LLC
- Trade Ideas, LLC
- Imperative Execution Inc
- Looking Glass Investments LLC
- Aitrades
- Kavout
- Auquan
- WOA
- Techtrader
Purchase Regional Report: https://reports.valuates.com/request/regional/QYRE-Auto-30U5674/Global_Artificial_Intelligence_in_Trading_Market
SUBSCRIPTION
We have introduced a tailor-made subscription for our customers. Please leave a note in the Comment Section to know about our subscription plans.
DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!
– AI Content Generation Market was estimated to be worth USD 1108 Million in 2023 and is forecast to a readjusted size of USD 5958 Million by 2030 with a CAGR of 27.3% during the forecast period 2024-2030.
– AI Crypto Trading Bot Market was valued at USD 21.69 Million in 2022 and is anticipated to reach USD 145.27 Million by 2029, witnessing a CAGR of 37.2% during the forecast period 2023-2029.
– Industrial Artificial Intelligence Market
– Artificial Intelligence for Retail Market was estimated to be worth USD 942.3 Million in 2023 and is forecast to a readjusted size of USD 1249.7 Million by 2030 with a CAGR of 3.2% during the forecast period 2024-2030.
– The global AI In Telecommunication market was valued at USD 1723 Million in 2023 and is anticipated to reach USD 19170 Million by 2030, witnessing a CAGR of 40.6% during the forecast period 2024-2030.
– Artificial Intelligence-based Security Market was estimated to be worth USD 6925 Million in 2023 and is forecast to a readjusted size of USD 20200 Million by 2030 with a CAGR of 16.4% during the forecast period 2024-2030.
– The global AI Data Center market was valued at USD 22615.04 Million in 2023 and is anticipated to reach USD 68317.57 Million by 2030, witnessing a CAGR of 17.11%during the forecast period 2024-2030.
– Artificial Intelligence (AI) in Mining Market was estimated to be worth USD 814 Million in 2023 and is forecast to a readjusted size of USD 1674 Million by 2030 with a CAGR of 11.0% during the forecast period 2024-2030.
– AI (Artificial Intelligence) Decision Making Market
– The AI Companion market was valued at USD 102 Million in 2023 and is anticipated to reach USD 632 Million by 2030, witnessing a CAGR of 98%% during the forecast period 2024-2030.
– Algorithmic Trading Software Market
DISCOVER OUR VISION: VISIT ABOUT US!
Valuates offers in-depth market insights into various industries. Our extensive report repository is constantly updated to meet your changing industry analysis needs.
Our team of market analysts can help you select the best report covering your industry. We understand your niche region-specific requirements and that’s why we offer customization of reports. With our customization in place, you can request for any particular information from a report that meets your market analysis needs.
To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains a detailed research methodology employed to generate the report. Please also reach our sales team to get the complete list of our data sources.
GET A FREE QUOTE
Valuates Reports
[email protected]
For U.S. Toll-Free Call 1-(315)-215-3225
WhatsApp: +91-9945648335
Website: https://reports.valuates.com
Blog: https://valuatestrends.blogspot.com/
Pinterest: https://in.pinterest.com/valuatesreports/
Twitter: https://twitter.com/valuatesreports
Facebook: https://www.facebook.com/valuatesreports/
YouTube: https://www.youtube.com/@valuatesreports6753
https://www.facebook.com/valuateskorean
https://www.facebook.com/valuatesspanish
https://www.facebook.com/valuatesjapanese
https://valuatesreportspanish.blogspot.com/
https://valuateskorean.blogspot.com/
https://valuatesgerman.blogspot.com/
https://valuatesreportjapanese.blogspot.com/
Logo: https://mma.prnewswire.com/media/1082232/Valuates_Reports_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/artificial-intelligence-ai-in-trading-market-to-reach-usd-35-billion-by-2030-growing-at-a-10-cagr–valuates-reports-302341827.html
Fintech PR
Bybit x Block Scholes Report: BTC Options Steady with Call-Put Parity, ETH Braces for Short-Term Volatility
DUBAI, UAE, Jan. 3, 2025 /PRNewswire/ — Bybit, the world’s second-largest cryptocurrency exchange by trading volume, has released its latest crypto derivatives analytics report in collaboration with Block Scholes. The report sheds light on key trends in open interest and market behavior during the significant year-end options expiration for Bitcoin (BTC) and Ethereum (ETH).
Key highlights:
Open Interest Solid Amid Year-End Options Expiration
Although open interest in BTC and ETH perpetual swaps has not returned to the early December 2024 highs, it remained stable during the critical year-end options expiration. This stability suggests that traders did not heavily rely on perpetual contracts to hedge the delta of expiring options, which contributed to the muted volatility observed during this period. Trading volumes dipped during the winter holiday season, aligning with a collapse in realized volatility, which reached its lowest levels of December.
BTC Option Curve Remains Steep During Call-Put Parity
Contrary to expectations, the expiration of December’s options did not spark a surge in volatility. Instead, realized volatility declined to the lower end of its recent range. The implied volatility term structure for BTC options remains steep, with longer-dated implied volatility hovering around 57% and 1-week at-the-money options trading approximately five points lower. Most of the expired open interest has not been reinvested, maintaining a neutral call-put balance. As a result, BTC’s options market shows limited leverage compared to its position at the beginning of December 2024, reflecting a cautious sentiment.
Huge ETH Option Expiring Doesn’t Cause Volatility
Despite the substantial expiration of ETH options in late December 2024, market dynamics remained stable. A spike in realized volatility during December failed to extend into the new year, with ETH’s spot price currently showing lower volatility compared to short-tenor implied volatility. Over the past week, the implied volatility term structure for ETH options has shifted, steepening briefly before flattening again, diverging from BTC’s consistently steep profile. This pattern suggests that ETH’s options market is bracing for potential short-term volatility in spot price movements.
Interestingly, despite the expiration, call options for ETH have gained momentum at the start of 2025, dominating the market and indicating an optimistic outlook among traders.
Access the Full Report:
Gain deeper insights and explore the potential impacts on your crypto trading strategies by downloading the full Bybit x Block Scholes Crypto Derivatives Analytics Report.
#Bybit / #TheCryptoArk / #BybitLearn / #BybitResearch / #BTC100K
About Bybit
Bybit is the world’s second-largest cryptocurrency exchange by trading volume, serving a global community of over 60 million users. Founded in 2018, Bybit is redefining openness in the decentralized world by creating a simpler, open and equal ecosystem for everyone. With a strong focus on Web3, Bybit partners strategically with leading blockchain protocols to provide robust infrastructure and drive on-chain innovation. Renowned for its secure custody, diverse marketplaces, intuitive user experience, and advanced blockchain tools, Bybit bridges the gap between TradFi and DeFi, empowering builders, creators, and enthusiasts to unlock the full potential of Web3. Discover the future of decentralized finance at Bybit.com.
For more details about Bybit, please visit Bybit Press
For media inquiries, please contact: [email protected]
For updates, please follow: Bybit’s Communities and Social Media
Discord | Facebook | Instagram | LinkedIn | Reddit | Telegram | TikTok | X | Youtube
Photo – https://mma.prnewswire.com/media/2590149/Bybit_x_Block_Scholes_Report_BTC_Options_Steady_Call_Put_Parity.jpg
Logo – https://mma.prnewswire.com/media/2267288/5097786/Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/bybit-x-block-scholes-report-btc-options-steady-with-call-put-parity-eth-braces-for-short-term-volatility-302341877.html
ABU DHABI, UAE, Jan. 3, 2025 /PRNewswire/ — Arctech, the world’s leading solar tracking and racking solutions provider, announced that it signed a 1.5GW order of its 1P single-axis solar tracking system SkyLine II with PowerChina for a solar project in Al Ajban, UAE, marking a great start for the company in the Middle East market in 2025.
As a key initiative under “UAE Energy Strategy 2050”, which aims to provide the country with zero-emission clean energy, this 1.5GW Al Ajban Solar PV plant will become one of the largest single-site solar plants worldwide once completed.
Upon completion, this plant is projected to generate green electricity capable of fulfilling the electricity demands of approximately 160,000 households. It is expected to reduce Abu Dhabi’s annual carbon emissions by 2.4 million tons each year, thereby significantly advancing green development and facilitating energy transition in the Middle East.
Since establishing its local operations in 2017, Arctech has expanded to include a service center, an R&D center, two local offices and a manufacturing base in the Middle East. Among which, Arctech’s Jeddah Phase II manufacturing base is currently under construction and will officially enter operation in 2025. Combined with its global supply chain, this expansion will enable Arctech to achieve a local delivery capacity of 15GW.
Up to now, Arctech has established a complete full life cycle service network in the Middle East market, including technical support, supply chain delivery, after-sales service, local operation and maintenance capabilities, and brand marketing strategies. Looking ahead, Arctech is well-positioned to further contribute to UAE’s “Energy Strategy 2050” through its enhanced localization initiatives and comprehensive white-glove services.
About Arctech
Arctech (SSE-STAR:688408) is the world-leading supplier of intelligent solar trackers, fixed-tilt structures, PV cleaning robots and energy storage solutions. Empowered by over 530 patents, Arctech products have been applied in utility-scale and commercial solar PV projects since 2009. It was listed among the top 4 tracker suppliers by IHS Markit and Wood Mackenzie from 2017 to 2020. The company went public on China’s Nasdaq-style STAR market in 2020. As of June 2024, Arctech has supplied over 76 GW of tracking and racking systems to nearly 1,800 PV plants in 40 countries. For more information, please visit https://www.arctechsolar.us/. Follow us on Linkedin, Twitter, Facebook and YouTube.
Photo – https://mma.prnewswire.com/media/2589982/Groundbreadking_Ceremony_1_5GW_Al_Ajban_Solar_PV_plant.jpg
View original content:https://www.prnewswire.co.uk/news-releases/year-opening-triumph-arctech-lands-a-1-5gw-solar-project-order-in-the-uae-302341769.html
-
Fintech PR3 days agoOutsourced Accounting Service: The New Standard for Business Finance Industry
-
Fintech PR3 days agoCKGSB Professor Mei Jianping Launches Global Indices Tracking Impressionist, Contemporary, and Chinese Art Markets
-
Fintech PR3 days agoBybit Launchpad Onboards Xterio, Opening up Opportunities in Blockchain Gaming for Users
-
Fintech PR3 days agoIBN Technologies Sets the Benchmark in Financial Management Accounting Excellence
-
Fintech PR4 days agoIBN Technologies LLC Steps in to Support Clients After Bench Accounting’s Unexpected Closure
-
Fintech PR3 days agoDayOne Launches as an Independent Global Data Center Pioneer Following Series B Funding Closure
-
Fintech PR3 days agoGES Completes Sale to Truelink Capital
-
Fintech PR3 days agoCommercial Amino Acids Surge with 6.1% CAGR Growth: BCC Research